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Privacy Implications of Database Ranking

Summary: Ranking-based retrieval in structured DBs leaks private attributes via ranking signals. Taxonomy by query UI and adversary; per subspace, novel techniques infer private attributes; validated by theory and empirical attacks on Goodreads and Renren. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10990
Venue
VLDB
Year
2015
Pagerank
4.9794512e-05
Overall Rank
6,642 | 53.80%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
7,503 Heterogeneous Recommendations: What You Might Like To Read After Watching Interstellar 2017 VLDB 4.7180617e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
7 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0015496097
427 Automated Ranking of Database Query Results 2003 CIDR 0.0002352637
1,359 Range Queries in OLAP Data Cubes 1997 SIGMOD 0.0001238588
1,609 A Unified Approach to Ranking in Probabilistic Databases 2009 VLDB 0.00011150935
1,992 Probabilistic Ranking of Database Query Results 2004 VLDB 9.8462684e-05
5,140 A Random Walk Approach to Sampling Hidden Databases 2007 SIGMOD 5.668209e-05
8,684 Unbiased Estimation of Size and Other Aggregates Over Hidden Web Databases 2010 SIGMOD 4.4677591e-05
12,088 Rank Discovery From Web Databases 2013 VLDB 4.1945683e-05
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